MOBO-NFV: Automated Tuning of a Network Function Virtualization System using Multi-Objective Bayesian Optimization

Pietro Mercati,Bin Li,Mesut Ergin,Charlie Tai,Michael Kishinevsky,Boris Serafimov,Subhiksha Ravisundar,Eoin Walsh,Thomas Long

2021 IFIP/IEEE International Symposium on Integrated Network Management (IM)（2021）

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摘要

With today’s dramatic rise of Internet traffic, telecommunication providers increasingly rely on Network Function Virtualization (NFV) for the fast deployment and flexible orchestration of infrastructure workloads. Characterizing and tuning to run at maximum performance and/or minimum power is a critical business goal for companies.In this paper, we implement and characterize the Virtual Broadband...

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关键词

Power demand,Telecommunication traffic,Logic gates,Network function virtualization,Bayes methods,Planning,Internet

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